Frozen Tool Forensics: Power-Play Leaders

Chris Kane


As we get closer to the start of hockey, managers everywhere are beginning to prep their draft strategies. A big part of that for many is to take a look at projections for the upcoming players to try and make some judgements about their value (pro tip: go grab Dobber's). If we are looking at point projections, performance on the power play can have huge implications. A top power-play role can essentially make or break a player's fantasy relevance. With that in mind we are going to take a moment and look at some power-play data from the 2020-21 season.

Since this is a Frozen Tools article, you can expect that there is something helpful over on Frozen Tools that will allow us to do this. It is of course the PP Data report (the naming conventions over there at Frozen Tools are again spot on). The report breaks down player's performance into a number of useful categories: counting stats like goals, assists, points, shots, and time on ice, as well as power-play percentage, points-per-60, and IPP. We could use any number of them for this analysis, but we are going to focus on points, points-per-60, and power-play percentage.

In order to get the data, we will to run the report, export it, and then do a little rearranging of the columns. Just for fun, let's start with our big power-play producers.


These players all have a few things in common. They are elite players in and of themselves, so produce at a very high rate per 60, and they see the vast majority of their team's power-play time (amounting to four plus minutes a night on average).

While it is enjoyable to see just how incredible Connor McDavid and Leon Draisaitl are on the power-play that isn't really news to anyone. What is most helpful when planning for the future is to look at what has changed for players over time. In